Enhancing a Near-Term Quantum Accelerator’s Instruction Set Architecture for Materials Science Applications

Posted by klaurent Delft

Kavli Affiliate: Leonardo Dicarlo | First 5 Authors: Xiang Zou, Shavindra P. Premaratne, M. Adriaan Rol, Sonika Johri, Viacheslav Ostroukh | Summary: Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future […]


Continue.. Enhancing a Near-Term Quantum Accelerator’s Instruction Set Architecture for Materials Science Applications

Scaling down an insect-size microrobot, HAMR-VI into HAMR-Jr

Posted by dbos Harvard

Kavli Affiliate: Robert J. Wood | First 5 Authors: Kaushik Jayaram, Jennifer Shum, Samantha Castellanos, E. Farrell Helbling, Robert J. Wood | Summary: Here we present HAMR-Jr, a SI{22.5}{millimeter}, SI{320}{milligram} quadrupedal microrobot. With eight independently actuated degrees of freedom, HAMR-Jr is, to our knowledge, the most mechanically dexterous legged robot at its scale and is […]


Continue.. Scaling down an insect-size microrobot, HAMR-VI into HAMR-Jr

Scaling down an insect-size microrobot, HAMR-VI into HAMR-Jr

Posted by dbos Harvard

Kavli Affiliate: Robert J. Wood | First 5 Authors: Kaushik Jayaram, Jennifer Shum, Samantha Castellanos, E. Farrell Helbling, Robert J. Wood | Summary: Here we present HAMR-Jr, a SI{22.5}{millimeter}, SI{320}{milligram} quadrupedal microrobot. With eight independently actuated degrees of freedom, HAMR-Jr is, to our knowledge, the most mechanically dexterous legged robot at its scale and is […]


Continue.. Scaling down an insect-size microrobot, HAMR-VI into HAMR-Jr

Incorporating electronic information into Machine Learning potential energy surfaces via approaching the ground-state electronic energy as a function of atom-based electronic populations

Posted by klaurent Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Xiaowei Xie, Kristin A. Persson, David W. Small, , | Summary: Machine Learning (ML) approximations to Density Functional Theory (DFT) potential energy surfaces (PESs) are showing great promise for reducing the computational cost of accurate molecular simulations, but at present they are not applicable to varying […]


Continue.. Incorporating electronic information into Machine Learning potential energy surfaces via approaching the ground-state electronic energy as a function of atom-based electronic populations

Forced Oscillatory Motion of Trapped Counter-Propagating Solitons

Posted by klaurent Caltech

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Chengying Bao, Boqiang Shen, Myoung-Gyun Suh, Heming Wang, Kemal Safak | Summary: Both the group velocity and phase velocity of two solitons can be synchronized by a Kerr-effect mediated interaction, causing what is known as soliton trapping. Trapping can occur when solitons travel through single-pass optical […]


Continue.. Forced Oscillatory Motion of Trapped Counter-Propagating Solitons

Multi-functional volumetric meta-optics for color and polarization image sensors

Posted by klaurent Caltech

Kavli Affiliate: Andrei Faraon | First 5 Authors: Philip Camayd-Muñoz, Conner Ballew, Gregory Roberts, Andrei Faraon, | Summary: Three-dimensional elements, with refractive index distribution structured at sub-wavelength scale, provide an expansive optical design space that can be harnessed for demonstrating multi-functional free-space optical devices. Here we present 3D dielectric elements, designed to be placed on […]


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Efficient phase-factor evaluation in quantum signal processing

Posted by Berkeley

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Yulong Dong, Xiang Meng, K. Birgitta Whaley, Lin Lin, | Summary: Quantum signal processing (QSP) is a powerful quantum algorithm to exactly implement matrix polynomials on quantum computers. Asymptotic analysis of quantum algorithms based on QSP has shown that asymptotically optimal results can in principle be […]


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Evidence for a magnetic-field induced ideal type-II Weyl state in antiferromagnetic topological insulator Mn(Bi1-xSbx)2Te4

Posted by klaurent Berkeley

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Seng Huat Lee, David Graf, Yanglin Zhu, Hemian Yi, Samuel Ciocys | Summary: The discovery of Weyl semimetals (WSMs) has fueled tremendous interest in condensed matter physics. WSMs require breaking of either inversion symmetry (IS) or time-reversal symmetry (TRS); they can be categorized into type-I and type-II […]


Continue.. Evidence for a magnetic-field induced ideal type-II Weyl state in antiferromagnetic topological insulator Mn(Bi1-xSbx)2Te4

Competition between magnetic order and charge localization in Na$_2$IrO$_3$ thin crystal devices

Posted by klaurent Berkeley

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Josue Rodriguez, Gilbert Lopez, Samantha Crouch, Nicholas P. Breznay, Robert Kealhofer | Summary: Spin orbit assisted Mott insulators such as sodium iridate (Na$_2$IrO$_3$) have been an important subject of study in the recent years. In these materials, the interplay of electronic correlations, spin-orbit coupling, crystal field effects […]


Continue.. Competition between magnetic order and charge localization in Na$_2$IrO$_3$ thin crystal devices

A Mechanically Tunable Quantum Dot in a Graphene Break Junction

Posted by klaurent Delft

Kavli Affiliate: Cees Dekker | First 5 Authors: Sabina Caneva, Matthijs D. Hermans, Martin Lee, Amador Garcia-Fuente, Kenji Watanabe | Summary: Graphene quantum dots (QDs) are intensively studied as platforms for the next generation of quantum electronic devices. Fine tuning of the transport properties in monolayer graphene QDs, in particular with respect to the independent […]


Continue.. A Mechanically Tunable Quantum Dot in a Graphene Break Junction